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xSIM++: An Improved Proxy to Bitext Mining Performance for Low-Resource Languages.

, , , , and . ACL (2), page 101-109. Association for Computational Linguistics, (2023)

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Multilayer Data and Document Stratification for Comorbidity Analysis., , and . CIBB, volume 10477 of Lecture Notes in Computer Science, page 209-219. Springer, (2016)Dialect Clustering with Character-Based Metrics: in Search of the Boundary of Language and Dialect., and . LREC, page 985-990. European Language Resources Association, (2020)Problem-solving Recognition in Scientific Text., and . LREC, page 6045-6058. European Language Resources Association, (2022)stopes - Modular Machine Translation Pipelines., , , , , , , , , and . EMNLP (Demos), page 258-265. Association for Computational Linguistics, (2022)Creating dialect sub-corpora by clustering: a case in Japanese for an adaptive method., and . LREC, European Language Resources Association (ELRA), (2018)Homonym normalisation by word sense clustering: a case in Japanese., and . COLING, page 3324-3332. International Committee on Computational Linguistics, (2020)No Language Left Behind: Scaling Human-Centered Machine Translation., , , , , , , , , and 28 other author(s). CoRR, (2022)Identifying Problems and Solutions in Scientific Text., and . BIRNDL@SIGIR (1), volume 1888 of CEUR Workshop Proceedings, page 41-55. CEUR-WS.org, (2017)Unsupervised Topic Segmentation of Meetings with BERT Embeddings., , , , , and . CoRR, (2021)Bitext Mining Using Distilled Sentence Representations for Low-Resource Languages., , and . EMNLP (Findings), page 2101-2112. Association for Computational Linguistics, (2022)